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Literature DB >> 10829225

Amino acid substitution matrices.

S Henikoff¹, J G Henikoff.

Abstract

Mesh：

Substances：
Proteins

Year: 2000 PMID： 10829225 DOI： 10.1016/s0065-3233(00)54003-0

Source DB: PubMed Journal: Adv Protein Chem ISSN： 0065-3233

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Cited

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12 in total

1. Folding free energy function selects native-like protein sequences in the core but not on the surface.

Authors: Alfonso Jaramillo; Lorenz Wernisch; Stéphanie Héry; Shoshana J Wodak
Journal: Proc Natl Acad Sci U S A Date: 2002-10-04 Impact factor: 11.205

Review 2. Weakly stable regions and protein-protein interactions in beta-barrel membrane proteins.

Authors: Hammad Naveed; Jie Liang
Journal: Curr Pharm Des Date: 2014 Impact factor: 3.116

3. Constraints on the conformation of the cytoplasmic face of dark-adapted and light-excited rhodopsin inferred from antirhodopsin antibody imprints.

Authors: Brian W Bailey; Brendan Mumey; Paul A Hargrave; Anatol Arendt; Oliver P Ernst; Klaus Peter Hofmann; Patrik R Callis; James B Burritt; Algirdas J Jesaitis; Edward A Dratz
Journal: Protein Sci Date: 2003-11 Impact factor: 6.725

4. Trp-107 and trp-253 account for the increased steady state fluorescence that accompanies the conformational change in human pancreatic triglyceride lipase induced by tetrahydrolipstatin and bile salt.

Authors: Angela Bourbon-Freie; Rachel E Dub; Xunjun Xiao; Mark E Lowe
Journal: J Biol Chem Date: 2009-04-03 Impact factor: 5.157

Amino acid substitution matrices.

1. Folding free energy function selects native-like protein sequences in the core but not on the surface.

Review 2. Weakly stable regions and protein-protein interactions in beta-barrel membrane proteins.

3. Constraints on the conformation of the cytoplasmic face of dark-adapted and light-excited rhodopsin inferred from antirhodopsin antibody imprints.

4. Trp-107 and trp-253 account for the increased steady state fluorescence that accompanies the conformational change in human pancreatic triglyceride lipase induced by tetrahydrolipstatin and bile salt.

5. Detecting mutually exclusive interactions in protein-protein interaction maps.

6. Homology induction: the use of machine learning to improve sequence similarity searches.

7. 3D representations of amino acids-applications to protein sequence comparison and classification.

8. A weighted string kernel for protein fold recognition.

9. String kernels for protein sequence comparisons: improved fold recognition.

10. Fast batch searching for protein homology based on compression and clustering.